Polarimetric Estimates of a 1-Month Accumulation of Light Rain with a 3-cm Wavelength Radar

被引:19
作者
Borowska, L. [1 ,2 ]
Zrnic, D. [1 ]
Ryzhkov, A. [3 ,4 ]
Zhang, P. [3 ,4 ]
Simmer, C. [2 ]
机构
[1] NOAA Natl Severe Storms Lab, Norman, OK 73072 USA
[2] Univ Bonn, Inst Meteorol, D-5300 Bonn, Germany
[3] Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73019 USA
[4] NOAA OAR Natl Severe Storms Lab, Norman, OK USA
关键词
DUAL-POLARIZATION RADAR; X-BAND; PROFILING ALGORITHM; MELTING-LAYER; RANGE; PRECIPITATION; ATTENUATION;
D O I
10.1175/2011JHM1339.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The authors evaluate rainfall estimates from the new polarimetric X-band radar at Bonn, Germany, for a period between mid-November and the end of December 2009 by comparison with rain gauges. The emphasis is on slightly more than 1-month accumulations over areas minimally affected by beam blockage. The rain regime was characterized by reflectivities mainly below 45 dBZ, maximum observed rain rates of 47 mm a mean rain rate of 0.1 mm h(-1), and brightband altitudes between 0.6 and 2.4 km above the ground. Both the reflectivity factor and the specific differential phase are used to obtain the rain rates. The accuracy of rain total estimates is evaluated from the statistics of the differences between radar and rain gauge measurements. Polarimetry provides improvement in the statistics of reflectivity-based measurements by reducing the bias and RMS errors from -25% to 7% and from 33% to 17%, respectively. Essential to this improvement is separation of the data into those attributed to pure rain, those from the bright band, and those due to non-meteorological scatterers. A type-specific (rain or wet snow) relation is applied to obtain the rain rate by matching on the average the contribution by wet snow to the radar-measured rainfall below the bright band. The measurement of rain using specific differential phase is the most robust and can be applied to the very low rain rates and still produce credible accumulation estimates characterized with a standard deviation of 11% but a bias of -25%. A composite estimator is also tested and discussed.
引用
收藏
页码:1024 / 1039
页数:16
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